Digital Government: Managing Public Sector Reform in the Digital Era

Curated on Posted on by Stefaan Verhulst

Book by Miriam Lips: “Digital Government: Managing Public Sector Reform in the Digital Era presents a public management perspective on digital government and technology-enabled change in the public sector. It incorporates theoretical and empirical insights to provide students with a broader and deeper understanding of the complex and multidisciplinary nature of digital government initiatives, impacts, and implications.

The rise of digital government and its increasingly integral role in many government processes and activities, including overseeing fundamental changes at various levels across government, means that it is no longer perceived as just a technology issue. In this book Miriam Lips provides students with practical approaches and perspectives to better understand digital government. The text also explores emerging issues and barriers as well as strategies to more effectively manage digital government and technology-enabled change in the public sector….(More)”.

New Report Examines Reproducibility and Replicability in Science, Recommends Ways to Improve Transparency and Rigor in Research

Curated on Posted on by Stefaan Verhulst

National Academies of Sciences: “While computational reproducibility in scientific research is generally expected when the original data and code are available, lack of ability to replicate a previous study — or obtain consistent results looking at the same scientific question but with different data — is more nuanced and occasionally can aid in the process of scientific discovery, says a new congressionally mandated report from the National Academies of Sciences, Engineering, and Medicine.  Reproducibility and Replicability in Science recommends ways that researchers, academic institutions, journals, and funders should help strengthen rigor and transparency in order to improve the reproducibility and replicability of scientific research.

Defining Reproducibility and Replicability

The terms “reproducibility” and “replicability” are often used interchangeably, but the report uses each term to refer to a separate concept.  Reproducibility means obtaining consistent computational results using the same input data, computational steps, methods, code, and conditions of analysis.  Replicability means obtaining consistent results across studies aimed at answering the same scientific question, each of which has obtained its own data.   

Reproducing research involves using the original data and code, while replicating research involves new data collection and similar methods used in previous studies, the report says.  Even when a study was rigorously conducted according to best practices, correctly analyzed, and transparently reported, it may fail to be replicated. 

“Being able to reproduce the computational results of another researcher starting with the same data and replicating a previous study to test its results facilitate the self-correcting nature of science, and are often cited as hallmarks of good science,” said Harvey Fineberg, president of the Gordon and Betty Moore Foundation and chair of the committee that conducted the study.  “However, factors such as lack of transparency of reporting, lack of appropriate training, and methodological errors can prevent researchers from being able to reproduce or replicate a study.  Research funders, journals, academic institutions, policymakers, and scientists themselves each have a role to play in improving reproducibility and replicability by ensuring that scientists adhere to the highest standards of practice, understand and express the uncertainty inherent in their conclusions, and continue to strengthen the interconnected web of scientific knowledge — the principal driver of progress in the modern world.”….(More)”.

The State of Open Data

Curated on Posted on by Stefaan Verhulst

Open Access Book edited by Tim Davies, Stephen B. Walker, Mor Rubinstein and Fernando Perini: “It’s been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address a myriad of social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain. How will open data initiatives respond to new concerns about privacy, inclusion, and artificial intelligence? And what can we learn from the last decade in order to deliver impact where it is most needed? 

The State of Open Data brings together over 60 authors from around the world to address these questions and to take stock of the real progress made to date across sectors and around the world, uncovering the issues that will shape the future of open data in the years to come….(More)”.

The future of work? Work of the future!

Curated on Posted on by Stefaan Verhulst

European Commission: “While historical evidence suggests that previous waves of automation have been overwhelmingly positive for the economy and society, AI is in a different league, with the potential to be much more disruptive. It builds upon other digital technologies but also brings about and amplifies major socioeconomic changes of its own.

What do recent technological developments in AI and robotisation mean for the economy, businesses and jobs? Should we be worried or excited? Which jobs will be destroyed and which new ones created? What should education systems, businesses, governments and social partners do to manage the coming transition successfully?
These are some of the questions considered by Michel Servoz, Senior Adviser on Artificial Intelligence, Robotics and the Future of Labour, in this in-depth study requested by European Commission President Jean-Claude Juncker….(More)”.

GIS and the 2020 Census

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ESRI: “GIS and the 2020 Census: Modernizing Official Statistics provides statistical organizations with the most recent GIS methodologies and technological tools to support census workers’ needs at all the stages of a census. Learn how to plan and carry out census work with GIS using new technologies for field data collection and operations management. International case studies illustrate concepts in practice….(More)”.

The Third Pillar: How Markets and the State leave the Community behind

Curated on Posted on by Stefaan Verhulst

Book by Raghuram Rajan: “….In The Third Pillar he offers up a magnificent big-picture framework for understanding how these three forces–the state, markets, and our communities–interact, why things begin to break down, and how we can find our way back to a more secure and stable plane. 

The “third pillar” of the title is the community we live in. Economists all too often understand their field as the relationship between markets and the state, and they leave squishy social issues for other people. That’s not just myopic, Rajan argues; it’s dangerous. All economics is actually socioeconomics – all markets are embedded in a web of human relations, values and norms. As he shows, throughout history, technological phase shifts have ripped the market out of those old webs and led to violent backlashes, and to what we now call populism. Eventually, a new equilibrium is reached, but it can be ugly and messy, especially if done wrong. 

Right now, we’re doing it wrong. As markets scale up, the state scales up with it, concentrating economic and political power in flourishing central hubs and leaving the periphery to decompose, figuratively and even literally. Instead, Rajan offers a way to rethink the relationship between the market and civil society and argues for a return to strengthening and empowering local communities as an antidote to growing despair and unrest. Rajan is not a doctrinaire conservative, so his ultimate argument that decision-making has to be devolved to the grass roots or our democracy will continue to wither, is sure to be provocative. But even setting aside its solutions, The Third Pillar is a masterpiece of explication, a book that will be a classic of its kind for its offering of a wise, authoritative and humane explanation of the forces that have wrought such a sea change in our lives….(More)”.

Missing Numbers

Curated on Posted on by Stefaan Verhulst

Introduction by Anna Powell-Smith of a new “blog on the data the government should collect, but doesn’t”: “…Over time, I started to notice a pattern. Across lots of different policy areas, it was impossible for governments to make good decisions because of a basic lack of data. There was always critical data that the state either didn’t collect at all, or collected so badly that it made change impossible.

Eventually, I decided that the power to not collect data is one of the most important and little-understood sources of power that governments have. This is why I’m writing Missing Numbers: to encourage others to ask “is this lack of data a deliberate ploy to get away with something”?

By refusing to amass knowledge in the first place, decision-makers exert power over over the rest of us. It’s time that this power was revealed, so we can have better conversations about what we need to know to run this country successfully.

A typical example

The government records and publishes data on how often each NHS hospital receives formal complaints. This is very helpful, because it means patients and the people who care for them can spot hospitals whose performance is worrying.

But the government simply doesn’t record data, even internally, on how often formal complaints are made about each Jobcentre. (That FOI response is from 2015, but I’ve confirmed it’s still true in 2019.) So it is impossible for it to know if some Jobcentres are being seriously mismanaged….(More)”.

Habeas Data: Privacy vs. The Rise of Surveillance Tech

Curated on Posted on by Stefaan Verhulst

Book by Cyrus Farivar: “Habeas Data shows how the explosive growth of surveillance technology has outpaced our understanding of the ethics, mores, and laws of privacy.

Award-winning tech reporter Cyrus Farivar makes the case by taking ten historic court decisions that defined our privacy rights and matching them against the capabilities of modern technology. It’s an approach that combines the charge of a legal thriller with the shock of the daily headlines.

Chapters include: the 1960s prosecution of a bookie that established the “reasonable expectation of privacy” in nonpublic places beyond your home (but how does that ruling apply now, when police can chart your every move and hear your every conversation within your own home — without even having to enter it?); the 1970s case where the police monitored a lewd caller — the decision of which is now the linchpin of the NSA’s controversial metadata tracking program revealed by Edward Snowden; and a 2010 low-level burglary trial that revealed police had tracked a defendant’s past 12,898 locations before arrest — an invasion of privacy grossly out of proportion to the alleged crime, which showed how authorities are all too willing to take advantage of the ludicrous gap between the slow pace of legal reform and the rapid transformation of technology.

A dazzling exposé that journeys from Oakland, California to the halls of the Supreme Court to the back of a squad car, Habeas Data combines deft reportage, deep research, and original interviews to offer an X-ray diagnostic of our current surveillance state….(More)”.

Digital inequalities in the age of artificial intelligence and big data

Curated on Posted on by Stefaan Verhulst

Paper by Christoph Lutz: “In this literature review, I summarize key concepts and findings from the rich academic literature on digital inequalities. I propose that digital inequalities research should look more into labor‐ and big data‐related questions such as inequalities in online labor markets and the negative effects of algorithmic decision‐making for vulnerable population groups.

The article engages with the sociological literature on digital inequalities and explains the general approach to digital inequalities, based on the distinction of first‐, second‐, and third‐level digital divides. First, inequalities in access to digital technologies are discussed. This discussion is extended to emerging technologies, including the Internet‐of‐things and artificial intelligence‐powered systems such as smart speakers. Second, inequalities in digital skills and technology use are reviewed and connected to the discourse on new forms of work such as the sharing economy or gig economy. Third and finally, the discourse on the outcomes, in the form of benefits or harms, from digital technology use is taken up.

Here, I propose to integrate the digital inequalities literature more strongly with critical algorithm studies and recent discussions about datafication, digital footprints, and information privacy….(More)”.

Revisiting the causal effect of democracy on long-run development

Curated on Posted on by Stefaan Verhulst

Blog post by Markus Eberhardt: “In a recent paper, Acemoglu et al. (2019), henceforth “ANRR”, demonstrated a significant and large causal effect of democracy on long-run growth. By adopting a simple binary indicator for democracy, and accounting for the dynamics of development, these authors found that a shift to democracy leads to a 20% higher level of development in the long run.1

The findings are remarkable in three ways: 

  1. Previous research often emphasised that a simple binary measure for democracy was perhaps “too blunt a concept” (Persson and Tabellini 2006) to provide robust empirical evidence.
  2.  Positive effects of democracy on growth were typically only a “short-run boost” (Rodrik and Wacziarg 2005). 
  3. The empirical findings are robust across a host of empirical estimators with different assumptions about the data generating process, including one adopting a novel instrumentation strategy (regional waves of democratisation).

ANRR’s findings are important because, as they highlight in a column on Vox, there is “a belief that democracy is bad for economic growth is common in both academic political economy as well as the popular press.” For example, Posner (2010) wrote that “[d]ictatorship will often be optimal for very poor countries”. 

The simplicity of ANRR’s empirical setup, the large sample of countries, the long time horizon (1960 to 2010), and the robust positive – and remarkably stable – results across the many empirical methods they employ send a very powerful message against such doubts that democracy does cause growth.

I agree with their conclusion, but with qualifications. …(More)”.